

def 			lowerCamelCase__			(       _a				,      _a				,      _a=False):

	if isinstance(_a				,      _a) and isinstance(_a				,      _a):
		SCREAMING_SNAKE_CASE :   Tuple					  =							len(set_a.intersection(_a))

		if alternative_union:
			SCREAMING_SNAKE_CASE :   Dict					  =							len(_a) + len(_a)
		else:
			SCREAMING_SNAKE_CASE :   str					  =							len(set_a.union(_a))

		return intersection / union

	if isinstance(_a				,      (list, tuple)) and isinstance(_a				,      (list, tuple)):
		SCREAMING_SNAKE_CASE :   Dict					  =							[element for element in set_a if element in set_b]

		if alternative_union:
			SCREAMING_SNAKE_CASE :   List[Any]					  =							len(_a) + len(_a)
			return len(_a) / union
		else:
			SCREAMING_SNAKE_CASE :   Optional[Any]					  =							set_a + [element for element in set_b if element not in set_a]
			return len(_a) / len(_a)

		return len(_a) / len(_a)
	return None


if __name__ == "__main__":
			a_      =     {'a', 'b', 'c', 'd', 'e'}
			a_      =     {'c', 'd', 'e', 'f', 'h', 'i'}
			print(jaccard_similarity(set_a, set_b))





'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase_					=   {"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "SwinForImageClassification",
      "SwinForMaskedImageModeling",
      "SwinModel",
      "SwinPreTrainedModel",
      "SwinBackbone",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFSwinForImageClassification",
      "TFSwinForMaskedImageModeling",
      "TFSwinModel",
      "TFSwinPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_swin import (
        SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwinBackbone,
        SwinForImageClassification,
        SwinForMaskedImageModeling,
        SwinModel,
        SwinPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_swin import (
        TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFSwinForImageClassification,
        TFSwinForMaskedImageModeling,
        TFSwinModel,
        TFSwinPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



